metadata

tags:
  - job-recommendation
  - sklearn
  - tabular-classification
license: mit
model_type: Custom Recommendation Model
model_description: >-
  This is a recommendation model for job applicants based on their skills and
  majors.
library_name: sklearn

Job Recommendation Model

This repository contains a job recommendation model based on skills and majors.

Run model

Change csv file path and run "RECOMMENDATION MODEL" part in Job_Recommendation_System.ipynb notebook

Test recommeded system

In TEST RECOMMENDED SYSTEM part of Job_Recommendation_System.ipynb notebook, change input_hard_skills, input_soft_skills, input_major and run code to receive result

import pickle
import pandas as pd

# Load the model
with open('recommendation_pipeline.pkl', 'rb') as file:
    recommendation_pipeline = pickle.load(file)

# Example input
input_data = pd.DataFrame({
    'final_hard_skill': ["Python, Java, Finance, Excel"],
    'final_soft_skill': ["Communication, Teamwork"],
    'candidate_field': [""]
})

# Make recommendations
recommended_jobs = recommendation_pipeline.transform(input_data)
print("Recommended Jobs based on input skills and major:")
print(recommended_jobs)